In this paper, we propose a molecular multiple-input multiple-out (MIMO) communication platform using binary time shift keying (BTSK) modulation to model in-vessel network systems. A notable prior work introduced a vessel-like communication testbed, yet leaving a challenge to achieve a higher data rate. We suggest an improved version of testbed adding MIMO configurations with modulation techniques. The flow-assist channel model for MIMO systems has been limitedly investigated yet, the feasibility of MIMO systems with timing-based modulation is shown in this paper. The platform uses acid and base molecules as information carriers, and the received output is a set of pH values varying over time. The MIMO platform yields a higher data rate than the single-input single-output (SISO) systems. Furthermore, the system is flexible to any desired configurations, which can illustrate actual blood vessel environments.
|Title of host publication||Bio-inspired Information and Communication Technologies - 12th EAI International Conference, BICT 2020, Proceedings|
|Editors||Yifan Chen, Tadashi Nakano, Lin Lin, Mohammad Upal Mahfuz, Weisi Guo|
|Number of pages||5|
|Publication status||Published - 2020|
|Event||12th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2020 - Shanghai, China|
Duration: 2020 Jul 7 → 2020 Jul 8
|Name||Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST|
|Conference||12th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2020|
|Period||20/7/7 → 20/7/8|
Bibliographical noteFunding Information:
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF-2020R1A2C4001941) and the ICT Consilience Creative Program (IITP-2019-2017-0–01015). The authors would like to thank Prof. A. Goldsmith and Prof. N. Farsad for their pioneering work .
© 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications